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Fashion performance is decided one size and one store at a time. I am Wallie, and that is where I work.

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I connect demand-based targets, scarce-stock allocation and size-level redistribution, so Puma can turn inventory into availability.

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Start with the selling window. In predictive mode, stock targets use demand predictions for each variant and location.

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Coverage, lead time, minimums, maximums and display stock turn that demand into an operational target.

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Puma can plan for the weeks ahead, with quantities tailored to the size, the destination and the operating rules.

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When warehouse stock is scarce, forecast-based priorities determine which destinations are considered first for each product and size.

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Here, thirty-seven units of size small are divided one, one and thirty-five across three channel destinations.

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The planner sees the proposed split alongside stock, targets and uncovered need. Each available unit becomes a decision the team can review.

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Redistribution works at size level. One store can send sizes it has and receive other sizes it needs in the same plan.

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At this store, size small moves from five to three. Extra small moves from two to four.

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Across this saved plan, projected out-of-stock exposure falls from eleven point nine to seven point six percent.

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That is the opportunity: recover size availability with inventory Puma already owns.

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The rebalance also informs what happens next. After approval, its agreed future stock is written back into the stock targets.

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A configured protection period can hold those targets, keeping subsequent replenishment aligned with the rebalance.

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The decision stays explainable. Here, extra large has zero stock, zero in transit and a target of two. The proposal is two.

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The explanation connects that need with physical source stock, giving the planner a concrete reason to accept or challenge the quantity.

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The planner reduces extra large from two to one. The proposal total falls from three to two, with one unit still needed.

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Save keeps the adjustment for approval. Your team brings local knowledge into the workflow and sees what remains uncovered.

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Before launch, your integration can set assigned locations by API, connecting upstream assortment choices to the allocation review.

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Puma keeps ownership of where the style belongs, while the planner reviews the proposed store and size quantities.

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This is the Wallie approach: demand-based targets, deliberate scarce-stock decisions, and coordinated redistribution, with an explanation and planner control.

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Let us put your most important Puma case through that full decision flow, and judge the stock outcome together.